---
title: "Advanced Dashboarding"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns  #rows
    vertical_layout: fill  #scroll
    social: ["menu"]
    source_code: embed
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse, warn.conflicts = F)
library(palmerpenguins)  # data source
library(plotly)
library(DT)
library(fontawesome)
data("penguins")
```


Plots
=======================================================================

Column {data-width=650}
-----------------------------------------------------------------------

### Chart A

```{r, warning=FALSE}
a = 
  penguins %>%
  ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) +
  geom_point()

ggplotly(a)

# htmlwidgets for r
```

Column {data-width=350}
-----------------------------------------------------------------------

### Chart B

```{r, warning=FALSE}
penguins %>%
  ggplot(aes(x = body_mass_g, y = sex, fill = sex)) +
  geom_boxplot()
```

### Chart C

```{r, warning=FALSE}
penguins %>%
  ggplot(aes(x = flipper_length_mm, fill = species)) + 
  geom_histogram() +
  facet_wrap(~species)
```

Data
=========================================================================

```{r}
penguins %>%
  datatable(extensions = "Buttons", options = list(dom = "Blfrtip",
                                                   buttons = c("copy", "csv",
                                                               "excel", "pdf",
                                                               "print")))

# datatables.net

```